Soulnest Application mobile par Yixuan Song and Jiahui Yu

Le design Soulnest Application mobile par Yixuan Song and Jiahui Yu est un lauréat très estimé du prestigieux 2026 A' Design Award de Fer dans la catégorie Mobile.

FerMobile· 2026

Soulnest Application mobile

par Yixuan Song and Jiahui Yu

Client : SoulNest

Lauréat du A' Design Award de Fer dans la catégorie Mobile

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Couleurs

Le Design

À propos de Soulnest Application mobile

Soulnest est une application mobile conçue pour favoriser le bien-être mental. L'application propose un compagnon d'intelligence artificielle qui accompagne les utilisateurs à travers quatre étapes : la sélection du compagnon, l'évaluation, la thérapie et l'aide en cas de crise. L'analyse faciale et la détection du rythme cardiaque permettent au compagnon d'adapter son ton et ses conseils en temps réel. Des méthodes de thérapie cognitivo-comportementale sont employées pour aider les utilisateurs à gérer leur stress émotionnel. Tous les traitements s'effectuent directement sur l'appareil, de sorte que l'application fonctionne hors ligne et préserve la confidentialité des données personnelles.

La Reconnaissance

À propos du A' Design Award de Fer

Soulnest Application mobile est lauréat de l'A' Design Award de Fer, une reconnaissance prestigieuse décernée à de bons designs qui répondent aux exigences professionnelles et industrielles attendues de créations bien conçues. Les lauréats Fer démontrent la grande compétence, la haute spécialisation, la compréhension experte et la capacité créative de leurs créateurs. Soulnest Application mobile est censé être une création très estimée, admirée et chérie, pratique et innovante. Ce design lauréat de l'A' Design Award de Fer intègre les meilleures pratiques de l'industrie et présente des caractéristiques techniques compétentes associées à un savoir-faire et à du talent. Soulnest Application mobile est respecté pour sa rigueur et est conçu pour apporter des améliorations de la qualité de vie qui contribuent à faire du monde un monde meilleur.

Les coulisses du design

Dossier de presse

Crédits, membres de l'équipe et détails techniques fournis par le designer.

Propriétés Uniques: Soulnest pioneers a paradigm shift in mental health by replacing traditional high-barrier appointments with an immediate, 4-step stabilization loop. It democratizes emotional care through de-stigmatized Ai avatars, delivering personalized support in under 10 seconds. Engineered for digital equity, it features on-device Ai inference for full offline functionality on low-end devices. Adhering to Wcag standards and low-arousal aesthetics, Soulnest fosters global resilience with proven 72% efficacy.
Dimensions & Emballage: Ai architecture: Green Llm framework optimized via Tensorflow lite for local edge-computing. Performance: On-device inference latency less than 120ms; 40% reduction in peak Cpu load via adaptive computation dimming. Bio-data: Heart rate sampling at 30fps; 100% on-device physiological processing (zero-cloud privacy). Universal equity: Lightweight build less than 150mb for low-end device compatibility. Compliance: Full Wcag 2.1 level Aa and Iso-standard data encryption for global digital wellness.
Mots-Clés: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Technologie de Production: Soulnest implements an empathic interaction system by merging Rppg bio-sensing with Facs-based facial tracking. This transforms passive interfaces into a responsive biofeedback loop, where Ai avatars dynamically adapt their tone and guidance based on real-time physiological stress markers. The design utilizes atomic design systems and flutter for cross-platform fluidity, ensuring a seamless experience that balances clinical rigor with a low-arousal visual language.
Défi de Conception: The hardest part was achieving emotional authenticity while ensuring absolute privacy. Internal factors: We had to balance clinical rigor with a low-arousal Ux to prevent digital fatigue. External factors: Overcoming the limitations of on-device Ai inference was crucial to allow full functionality on low-end hardware without cloud dependency. Result: We successfully engineered a responsive bio-feedback loop that senses crisis through subtle physiological cues, navigating complex data-protection laws while delivering life-saving immediacy.
Recherche: We conducted a multi-modal mixed-methods study to bridge the 75% gap in immediate mental support. Methodology: Using evidence-based design and longitudinal tracking, we integrated Cbt frameworks with Ai interaction. Tools and participants: 1,200 diverse users were monitored via Rppg sensors and biometric wearables over 6 months. Results: Data showed a 72% increase in emotional regulation and a 58% reduction in crisis duration. Impact: The research proves that Ai-driven, bio-responsive tools can democratize mental healthcare, transforming high-barrier therapy into a scalable, stigma-free social infrastructure.
Inspiration: Inspired by the "silent crisis" where 75% of those in need lack mental support due to stigma and cost, Soulnest was born to bridge this gap. We observed that the "waiting period" is the deadliest barrier. Our goal was to create a "seamless emotional infrastructure" that is as natural as breathing. By integrating evidence-based therapy with Ai-driven empathy, Soulnest replaces medical coldness with human-centric warmth, ensuring support is a right, not a luxury, at the very moment of crisis.
Durée du Projet: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Flux Opérationnel: 1. Selection: Users choose a personalized Ai companion based on visual aesthetics and emotional affinity. 2. Diagnosis: The Ai assesses mental states by analyzing facial micro-expressions and conversational patterns. 3. Therapy: Users access anytime Ai consultations with avatar using Cbt techniques for immediate emotional support. 4. Crisis relief: Interactive scenarios and sensory healing are triggered to de-escalate emotional spikes. 5. Biometric tracking: Wearable sensors monitor physiological indicators, allowing the Ai to proactively intervene and track long-term wellness trends.
Membres de l'Équipe: Yixuan Song
Jiahui Yu
Xianxi Liao